class_docstr: Generic moment.
  
  Our implementations of the reductions approach to fairness
  :footcite:p:`agarwal2018reductions` make use
  of :class:`Moment` objects to describe both the optimization objective
  and the fairness constraints
  imposed on the solution. This is an abstract class for all such objects.
  
  Read more in the :ref:`User Guide <reductions>`.
class_docstr_tok: ["Generic","moment",".","Our","implementations","of","the","reductions","approach","to","fairness",":","footcite",":","p",":","`","agarwal2018reductions","`","make","use","of",":","class",":","`","Moment","`","objects","to","describe","both","the","optimization","objective","and","the","fairness","constraints","imposed","on","the","solution",".","This","is","an","abstract","class","for","all","such","objects",".","Read","more","in","the",":","ref",":","`","User","Guide","<","reductions",">","`","."]
docstr: Return the signed weights.
docstr_tok: ["Return","the","signed","weights","."]
code: def signed_weights(self, lambda_vec):  # noqa: D102
      """Return the signed weights."""
      raise NotImplementedError()
  
file_path: fairlearn/fairlearn/reductions/_moments/moment.py
imports: import pandas
label_desc: Use image node_id 8 for calling the Moment obj's underlying member method code with example usage: obj.signed_weights(lambda_vec) without return types